Direct measurement of engineered cancer mutations and their transcriptional phenotypes in single cells

  • Kim, Heon Seok; 
  • Grimes, Susan M; 
  • Chen, Tianqi; 
  • Sathe, Anuja; 
  • Lau, Billy T; 
  • 외 3명
Citations

WEB OF SCIENCE

26
Citations

SCOPUS

26

초록

Genome sequencing studies have identified numerous cancer mutations across a wide spectrum of tumor types, but determining the phenotypic consequence of these mutations remains a challenge. Here, we developed a high-throughput, multiplexed single-cell technology called TISCC-seq to engineer predesignated mutations in cells using CRISPR base editors, directly delineate their genotype among individual cells and determine each mutation’s transcriptional phenotype. Long-read sequencing of the target gene’s transcript identifies the engineered mutations, and the transcriptome profile from the same set of cells is simultaneously analyzed by short-read sequencing. Through integration, we determine the mutations’ genotype and expression phenotype at single-cell resolution. Using cell lines, we engineer and evaluate the impact of >100 TP53 mutations on gene expression. Based on the single-cell gene expression, we classify the mutations as having a functionally significant phenotype.

키워드

ANTAGONISTS; VARIANTS; LINES; MDM2; Cell culture; Diseases
제목
Direct measurement of engineered cancer mutations and their transcriptional phenotypes in single cells
저자
Kim, Heon Seok; Grimes, Susan M; Chen, Tianqi; Sathe, Anuja; Lau, Billy T; Hwang, GueHo; Bae, Sangsu; Ji, Hanlee P
DOI
10.1038/s41587-023-01949-8
발행일
2024-08
유형
Article in press
저널명
Nature Biotechnology
권
42
호
8
페이지
1254 ~ 1262